Dr Sangeethaa S N - Bannari Amman Institute of Technology

Experience Type	Organization	From	To	Total Experience
Engineering	Bannari Amman Institute of Technology, Sathyamangalam	26.08.2020
Engineering	Velalar College of Engineering and Technology	07.06.2012	30.06.2018	6 Year(s) & 0 Month
Engineering	Indus College of Engineering	01.06.2011	31.05.2012	1 Year & 0 Month
Engineering	Info Institute of Engineering	13.07.2009	26.05.2011	1 Year & 10 Month(s)

Degree	Specialization	Institute	University	Year of Passing
B.E	Computer Science and Engineering	Vivekanadha College of Engineering for Women	Anna University, Chennai	2007
M.E	Computer Science and Engineering	Vivekanadha College of Engineering for Women	Anna University, Chennai	2009
Ph.D	Computer Science and Engineering	Anna University	Anna University, Chennai	2019

Sangeethaa S N, P Meenakshi Devi, Gnanavel Sakkaravarthi, K E Narayana, “Novel Methods for Diagnosing Glaucoma: Segmenting Optic Discs and Cups Using Ensemble Learning Algorithms and CDR Ratio Analysis”, IETE Journal of Research, 2024

P Manjula, M Maragatharajan, Preeti Rajput, S Praveena Rachel Kamala, N Kopperundevi, Sangeethaa S N,”Sentiment Analysis for Online Product Reviews and Recommendation Using Deep Learning Based Optimization Algorithm”, International Journal on Recent and Innovation Trends in Computing and Communication, 11(9), 3629–3640. Https://Doi.Org/10.17762/Ijritcc.V11i9.9585.

Samriddhi M. Sharma, S J R K Padminivalli V, Naveen Mukkapati, R Sathishkannan, S Jothimani, S N Sangeethaa, D Stalin David, “Autism Spectrum Disorder Diagnosis Using Multichannel Tri Integrated Convolutional Neural Network with Attention”, Journal for Reattach Therapy and Developmental Diversities, 6(10s), 160–174. Retrieved From Https://Jrtdd.Com/Index.Php/Journal/Article/View/1090

Siva Srinivas M, Rohit Balaji R, Dharshan Kumar S, Sangeethaa S N, “Mend Service Experts Provider System for Residential and Commercial Buildings”. International Journal of Advance Research and Innovative Ideas in Education 10.2(2024): 1228-1236.

Adharshna R, Haresh V, Shyaam Pragaash R, Sangeethaa S N quot; Machine Learning Based Vision System for Automated Number Plate Monitoring and Violation Detection.” International Journal of Advance Research and Innovative Ideas in Education 10.2(2024): 2266-2272. DUI: 16.0415/IJARIIE-23064.

Khairnar, P N, Sangeethaa S N, Rao A S, Sivakumar S, Bharani G,”Design of Hybrid Energy Aware Cluster Based Multipath Routing Protocol in IoT Assisted Wireless Sensor Networks”, 7th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2023 – Proceedings, 2023, Pages. 1423–1429S.

Dhanasekar S , Sangeethaa S N, “Real Time Anomaly Detection in Electronic Health Records”, International Journal of Scientific Research in Engineering and Management (IJSREM) Volume: 07 Issue: 10, DOI: https://www.doi.org/10.55041/IJSREM26086. 2023,

K Gunalan, M Dakshana, S Sangeetha, P Anandan, R Saveetha, S Abirami, “An In-Depth Survey on Environmental Sustainability: Mitigating Energy Footprints for an Advanced Future Outlook,” 2023 Third International Conference on Smart Technologies, Communication and Robotics (STCR), Sathyamangalam, India, 2023, Pages. 1-6, Doi: 10.1109/Stcr59085.2023.10396997.

R Gomathi, S Logeswari, S Jothimani, S N Sangeethaa, S Arul Sangeetha, V Lathajothi, “”Mefnet-Micro Expression Fusion Network Based on Micro-Attention Mechanism and 3d-CNN Fusion Algorithms””, International Journal of Intelligent Engineering & Systems, 2023, Vol 16, Issue 6, P113, Doi:Doi 10.22266/IJIES2023.1231.10.”

T Kanimozhi, S N Sangeethaa, M A P Manimekalai, P Malathi, K N A, A Deepak, “Performance Comparison of Zigbee and Lora Wireless Networks in a Building Environment”, 2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT), Erode, India, Pages. 1-5, Doi: 10.1109/Icecct56650.2023.10179693, 2023.

Sangeethaa S N, Jothimani S. Detection of Exudates from Clinical Fundus Images Using Machine Learning Algorithms in Diabetic Maculopathy. Int J Diabetes Dev Ctries 43, 25–35 Https://Doi.Org/10.1007/S13410-021-01039-Y.(2023).

Dhivya P, Sangeethaa S N, T M Nithya, “Tb-Mfcc Multifuse Feature for Emergency Vehicle Sound Classification Using Multistacked CNN – Attention Bilstm”, Biomedical Signal Processing and Control, Vol. No.88, Issue No.Part A, 2023

S Jothimani, S N Sangeethaa, K Premalatha, R Sathishkannan, “A New Spatio-Temporal Neural Architecture with Bi-Lstm for Multimodal Emotion Recognition”, 2023 8th International Conference on Communication and Electronics Systems (ICCES), Coimbatore, India, Pages. 257-262, Doi: 10.1109/Icces57224.2023.10192713, 2023.

S N Sangeethaa,”Presumptive Discerning of the Severity Level of Glaucoma Through Clinical Fundus Images Using Hybrid Polynet”, Biomedical Signal Processing and Control, Vol.No.81, 104347, Https://Doi.Org/10.1016/J.Bspc.2022.104347, 2023.

R Alkanhel, M Abouhawwash, S N Sangeethaa, K Venkatachalam, D S Khafaga, “Wireless Network Security Using Load Balanced Mobile Sink Technique,” Intelligent Automation & Soft Computing, Vol. 35, No.2, Pages. 2135–2149, 2023.

Siva Srinivas M, Rohit Balaji R, Sangeethaa S N. “Heritage Identification of Monuments Using Deep Learning Techniques.” International Journal of Advance Research and Innovative Ideas in Education 9, no. 5 (2023) : 1224-1230.
Sangeethaa S N, “A Study on Brain Fingerprint Technology” , Journal of Ubiquitous Computing and Communication Technologies , Vol.4 , Issue3 , Pages 125 , 2022.

Arunkumar, P M, Sangeetha Y, Raja V, Sangeetha S N , “Deep Learning for Forgery Face Detection Using Fuzzy Fisher Capsule Dual Graph”, Information Technology and Control, Vol.No.51, Issue 3, Pages 563-574, Http://Dx.Doi.Org/10.5755/J01.Itc.51.3.31510, 2022.

S Jothimani, S N Sangeethaa, K Premalatha, “Advanced Deep Learning Techniques with Attention Mechanisms for Acoustic Emotion Classification,” International Conference on Inventive Computation Technologies (ICICT), 2022, Pages. 1235-1240, Doi: 10.1109/Icict54344.2022.9850908, 2022.

Kalaivani E, Dr Sangeethaa S N, Lavanya C , Janagi R , Munirathinam T,”New Novel Segmentation and Classification of Mr Brain Images Using Dtcwt and KSVM”, Journal of University of Shanghai for Science and Technology, Vol. 23, No. 10, Pages 931-938, 2021.

S Jothimani, Dr S N Sangeethaa,’ Element Shrewdness with Point Cloud Data Processing’, Pensee Journal, Vol.51, Issue 1, 2021.

S N Sangeethaa, P Uma Maheswari 2018, “An Intelligent Model for Blood Vessel Segmentation in Diagnosing Dr Using CNN”, Journal of Medical Systems, Vol. 42, Issue 10 ,2018. ISSN: 0148-5598, Impact Factor – 2.098.

S N Sangeethaa, P Uma Maheswari 2013, “Detection and Tracking of Moving Objects Using Particle Filter”, International Journal on Recent and Innovation Trends in Computing and Communication, Vol.1, Issue 5, Pages. 424-428, 2013.

M Priyadharshini, R Karthi, S N Sangeethaa, R Premalatha, K S Tamilselvan, “Implementation of Fuzzy Logic for the High-Resolution Remote Sensing Images with Improved Accuracy”, IOSR Journal of Electrical and Electronics Engineering, Volume 5, Issue 3, Pages.13-17, 2013.

Sangeethaa S N, Jothimani S, “Review on Multimodal Emotion Recognition”, National Conference on “Recent Advances in Communicative Electronics”, SRM TRP Engineering College, 2023.

Sangeethaa S N, “Implementation of Distributed Ledger Technology, Ai, Extended Reality, Computing In The Unmanned Aerial Vehicle for Covid -19”, International Conference on “Research Techniques in Engineering and Business Management”, International Institute of Research In Multidisciplinary, 2022.

Sangeethaa S N, Parthasarathi P, Nivedha S ,“Secure Group Communication Among IOT Components with Artificial Intelligence for Smart City Construction”, Second International Conference on “Artificial Intelligence and Smart Computing – 2022”, BIT, 2022.

Sangeethaa S N, “Multi-Objective Genetic Algorithm for Cluster Head Selection in WSN”, Second International Conference on “Artificial Intelligence and Smart Computing – 2022”, BIT, 2022.

“Sangeethaa S N, “Waste Compacting and Maintaining at The Source using Modern Techniques” International Conference on “Artificial Intelligence and Smart Computing”, 2022.
Dr.S.N.Sangeethaa, “Unconventional Helmet with Active Artificial Intelligence”, Artificial Intelligence in Marketing, , PSNA,Chennai, December 2020

Dr.S.N.Sangeethaa, “IOT based smart and featured safety Helmet”, International conference on Artificial Intelligence and smart computing, , BIT, October 2020

S.No	Reg. No.	Reg. Date	Name of the Scholar	Title of the Ph.D Thesis / Tentative title of the Research	Status
1	Ragunath D	23144697134	10.07.2023	Prediction of Hepatitis-C Virus Induced Liver Disease Diagnosis Using Machine Learning Techniques	Cours work
2	Sathyamoorthy J	24144697200	12.07.2024	Certain Investigation on Emotion Recognition on Multimodal Approaches Using Deep Learning Models	Cours work
3	Gunalan K	24134691274	21.12.2023	Prediction of Private Conversation on Multilingual and Cross-Lingual Using Neural Network Algorithms	Cours work
4	Saranya N	24234691125	21.12.2023	Disease Prediction on Multimodal Fusion Through Deep Learning	Cours work
5	Mohanapriya K	24244691161	16.10.2024	Deep Learning Techniques for Skin Lesion Detection	Cours work

S.No.	Title	Date	Reg. No.	Status	Level	Funding Agency
1	AI-BASED GAS CONSUMPTION IDENTIFYING DEVICE	28.06.2024	421546-001	Filed	National	Self
2	IOT BASED COLLAPSIBLE METAL DETECTOR APPARATUS	22.12.2023	380786-001	Granted	National	Self
3	AI BASED BLOOD FLOW MONITORING DEVICE IN HEAD	23.11.2023	397793-001	Granted	National	Self
4	IMPROVING CYBER SECURITY BY IMPROVED PREDICTIVE POTENTIAL OF MACHINE LEARNING MODELS	26.04.2023	202341015893	Filed	National	Self
5	R-CNN BASED WILD ANIMALS CONSERVATION	25.12.2022	202244075305	Published	National	Self
6	WASTE FOOD MANAGEMENT AND DONATION APP	29.08.2022	202241049162	Filed	National	Self
7	SMART AUTOMATED TOILET EXHAUST AND AIR FRESHENER SYSTEM	04.08.2022	202241045209	Filed	National	Self
8	THE SMART SHOES FOR DIABETIC PATIENT	06.05.2022	202241032162	Filed	National	Self
9	DETECTION OF CYBER SECURITY THREATS USING ARTIFICIAL INTELLIGENCE	01.04.022	202241017479	Published	National	Self
10	E-HEALTH MONITORING SYSTEM USING RASPBERRY PI AND IOT	13.12.2021	202141057922	Filed	National	Self

S.No.	Awards
1	IJDCC Award 2023, International Journal of Diabetes in Developing Countries,The Research Society for the Study of Diabetes in India 01.11.2023,
2	Best Paper Award, International Conference on Research Techniques in Engineering and Business Management, Andhra Pradesh, July 2022